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Keywords: machine learning
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Proceedings Papers

Proc. ASME. HT2023, ASME 2023 Heat Transfer Summer Conference, V001T16A004, July 10–12, 2023
Publisher: American Society of Mechanical Engineers
Paper No: HT2023-106939
... a technology for real-time heat flux quantification during two-phase cooling by coupling acoustic sensing using hydrophones and condenser microphones and regression-based machine learning frameworks. These frameworks integrate a fast Fourier transform feature extraction algorithm with regressors, i.e...
Proceedings Papers

Proc. ASME. HT2023, ASME 2023 Heat Transfer Summer Conference, V001T02A005, July 10–12, 2023
Publisher: American Society of Mechanical Engineers
Paper No: HT2023-107422
... constants match the data to an absolute fractional error of 26%. The model equation developed in this study provides insight into the interaction between conduction transport and nucleate boiling effects that can arise in droplet vaporization processes. machine learning droplet vaporization nucleate...
Proceedings Papers

Proc. ASME. HT2023, ASME 2023 Heat Transfer Summer Conference, V001T16A006, July 10–12, 2023
Publisher: American Society of Mechanical Engineers
Paper No: HT2023-107311
.... This study will use a database of 37 flow condensation studies for development of machine learning tools to predict two-phase heat transfer coefficient. In comparison to previous work performed by Zhou et. al. [1], this study will utilize thermodynamic data, dimensionless flow data, channel type, channel...
Proceedings Papers

Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T16A004, July 13–15, 2020
Publisher: American Society of Mechanical Engineers
Paper No: HT2020-9077
...USE OF GENETIC ALGORITHMS AND MACHINE LEARNING TO EXPLORE PARAMETRIC TRENDS IN NUCLEATE BOILING HEAT TRANSFER DATA Emma R. McClure and Van P. Carey Mechanical Engineering Department University of California, Berkeley, CA ABSTRACT Exploring parametric effects in pool boiling is particularly...